Retrieval of Similar Time Series with Similarity Degree of Linguistic Expressions
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- Takahashi Katsutoshi
- Osaka Prefecture University
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- Umano Motohide
- Osaka Prefecture University
Bibliographic Information
- Other Title
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- 言葉による表現の類似度を用いた類似時系列データの検索
Abstract
We have many kinds of data of time series such as daily temperatures. We have proposed a method to express their global trend and local features in a natural language. In the previous research we proposed a similarity degree between fuzzy sets of global trends and local features in the natural language for retrieving similar time series. The method expanded fuzzy sets by a fuzzy relation, but the expanded fuzzy sets changed the order of the similarity degrees of original fuzzy sets. In this paper, therefore, we propose a new fuzzy relation and a normalization of fuzzy sets for preventing it. And we illustrate retrieval of similar time series with the similarity degree.
Journal
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- Proceedings of the Fuzzy System Symposium
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Proceedings of the Fuzzy System Symposium 27 (0), 113-113, 2011
Japan Society for Fuzzy Theory and Intelligent Informatics
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Details 詳細情報について
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- CRID
- 1390001205673353984
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- NII Article ID
- 130004591702
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- Text Lang
- ja
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- Data Source
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- JaLC
- CiNii Articles
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- Abstract License Flag
- Disallowed